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Books in Electrical and electronic engineering

This portfolio encompasses comprehensive topics in circuit design, signal processing, power systems, telecommunications, and embedded systems. It offers researchers and engineers cutting-edge insights into emerging technologies such as renewable energy, AI, IoT, and automation. Providing both theoretical depth and practical innovation, these resources support the development of efficient, intelligent electrical and electronic systems across industries.

    • Movement Disorders in Neurology and Systemic Disorders

      • 1st Edition
      • Volume 8
      • English
      International Review of Movement Disorders series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.
    • Integrated Sensing and Communications for Future Wireless Networks

      Principles, Advances and Key Enabling Technologies
      • 1st Edition
      • Aryan Kaushik
      • English
      Integrated Sensing and Communications for Future Wireless Networks: Principles, Advances and Key Enabling Technologies presents the principles, methods, and algorithms of ISAC, an overview of the essential enabling technologies, as well as the latest research and future directions. Suitable for academic researchers and post graduate students as well as industry R&D engineers, this book is the definitive reference in this interdisciplinary field that is being seen as a technology to enable emerging applications such as vehicular networks, environmental monitoring, remote sensing, IoT, smart cities.Importantly, ISAC has been identified as an enabling technology for B5G/6G, and the next-generation Wi-Fi system. ISAC brings together a range of technologies: radar sensing, reconfigurable intelligent surfaces, holographic surfaces through to high frequency terahertz, PHY security, channel signaling, multiple access, and machine learning.
    • Brain-Computer Interfaces

      • 1st Edition
      • Ayman S. El-Baz + 1 more
      • English
      Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.
    • Signal Processing Strategies

      • 1st Edition
      • Ayman S. El-Baz + 1 more
      • English
      Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.
    • Nanolithography and Surface Microscopy with Electron Beams

      • 1st Edition
      • Volume 231
      • English
      Nanolithography and Surface Microscopy with Electron Beams, Volume 231 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains. Specific chapters cover Introduction to inverse problems in electron microscopy, Directional sinogram inpainting for limited angle tomography, Strain tomography of crystals, FISTA with adaptive discretization, Total variation discretization, and Reconstruction with a Gaussian Dictionary.
    • Semiconductor Metasurfaces, Part 1

      • 1st Edition
      • Volume 115
      • English
      Semiconductor Metamaterials: Part One, Volume 116 in a two-part series surveys the state-of-the-art in material platforms for optical metasurfaces. Chapters cover Metasurfaces from materials with 2nd-order nonlinearity, Light Emitting Metasurfaces based on Direct Bandgap Semiconductors, Tunable Metasurfaces enabled by Phase-Change Materials, Phase-Transition Materials for Thermal Tuning of Metasurfaces, Tunable Metasurface Devices based on Soft Matter, Infrared Metasurfaces, Polarization Sensing Platforms, UV/ Visible Metasurfaces, and Metasurfaces for Catalysis & Chemistry.
    • Coulomb Interactions in Particle Beams

      • 1st Edition
      • Volume 230
      • Guus Jansen
      • English
      Coulomb Interactions in Particle Beams, Volume 230, the latest release in the Advances in Imaging and Electron Physics series, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.
    • Machine Learning for Low-Latency Communications

      • 1st Edition
      • Yong Zhou + 4 more
      • English
      Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.
    • Device-Aided Therapies in Parkinson's disease

      • 1st Edition
      • Volume 7
      • English
      Device-Aided Therapies in Parkinson's Disease discusses the latest options from a global set of key opinion leaders and emerging specialists using a gender balanced modern and nuanced approach. Sample chapters cover The concept of continuous dopaminergic stimulation, Apomorphine Infusion, LCIG, LECIG, Foslevodopa/Foscarbi... ND0612, STN-DBS, Pallidal DBS, MRgFUS, Vestibular Neurostimulation, Patient selection and choice of therapy, The future: Stem cells? Gene therapy?, The future: Trophic factors, and Devices and the dashboard for PD.
    • Graph Based Multimedia Analysis

      • 1st Edition
      • Ananda S Chowdhury + 1 more
      • English
      Graph Based Multimedia Analysis applies concepts from graph theory to the problems of analyzing overabundant video data. Video data can be quite diverse: exocentric (captured by a standard camera) or egocentric (captured by a wearable device like Google Glass); of various durations (ranging from a few seconds to several hours); and could be from a single source or multiple sources. Efficient extraction of important information from such a large class of diverse video data can be overwhelming. The book, with its rich repertoire of theoretically elegant solutions, from graph theory in conjunction with deep learning, constrained optimization, and game theory, empowers the audience to achieve tasks like obtaining concise yet useful summaries and precisely recognizing single as well as multiple actions in a computationally efficient manner. The book provides a unique treatise on topics like egocentric video analysis and scalable video processing.